Data Scientist, Analytics

Brandless, Inc.

San Francisco, CA

Feb 2020 - Jan 2019

• Advised A/B tests, proposed alternative experimentation frameworks, e.g. Non-Inferiority Tests, for optimized, faster testing
• Maintained backend data infrastructure, including Redshift and Looker, to support internal data models and stakeholder analyses
• Performed analyses into user-site behavior to guide product decisions
• Worked with Marketing to identify profitable, loyal customers to target with email campaigns, product recommendations and promotions based on segmentation and order history
• Developed models to predict new product interest and interactions, based on preferences and demographic information obtained from survey responses to inform Product Finder Quiz design

Data Science Intern

Air Pollution Control District

San Luis Obispo, CA

Dec 2018 - Mar 2018

• Implemented R and Python scripts to automate AirAware text alerts
• Developed random forest model to predict high wind days based on meteorological data
• Created R package to load, format and analyze Federal Air Quality Systems data

Data Science Intern

Brandless, Inc.

San Francisco, CA

Sep 2018 - Jun 2018

• Implemented email marketing strategy to target customers with specific promotions, based on random forest predictions of AOV and retention
• Developed box recommendation algorithm to minimize empty space and multi-box shipments to enable cost savings of > $100,000
• Performed sentiment analysis on support tickets, NPS and product reviews to provide insights on customer opinion

Undergraduate Researcher

iFixit, Cal Poly Department of Statistics

San Luis Obispo, CA

Sep 2017 - Jun 2017

• Predicted survival probabilities and response times of questions posted on iFixit’s Q&A forum using Cox regression
• Wrote Shiny app to allow users to compute predictions for any set of questions

B.S. Statistics

California Polytechnic State University

San Luis Obispo, CA

Dec 2018 - Sep 2014